Effectiveness of Android-Based Application (Nosting) for Early Detection of Stunting and Growth and Development Screening in Children Aged 12-24 Months

Abstract

In general, data from height and weight measurements are manually entered into a growth chart, where this process takes time and can result in stunting cases being missed during the data entry process. Therefore, an early detection system was developed by utilizing the sophistication of Android which is currently widely used by the community. The purpose of this research is to build an innovative application for early detection of stunting and growth and development screening in children aged 12-24 months so that it can make it easier to monitor their growth and development based on Z-Score and KPSP. This research method is R&D. The research model used is ADDIE. This study used 43 respondents and 3 expert respondents. The sampling technique used purposive sampling. The results of the study based on the assessment of 3 experts get a value of 79.67% with a category worth using and based on a small scale trial on 43 respondents on the assessment of the effectiveness of the application getting a value of 89% so that it can be categorized as very effective. It can be concluded that the application of early detection of stunting and growth and development screening is feasible and very effective to use.